Multi-objective optimization and exergoeconomic analysis for a novel full-spectrum solar-assisted methanol combined cooling, heating, and power system

Han, Zepeng; Wang, Jiangjiang; Cui, Zhiheng; Lu, Chenyu; Qi, Xiaoling

doi:10.1016/j.energy.2021.121537

Cited by 25 publications

(2 citation statements)

References 45 publications

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“…The results revealed that the designed system can provide 1 MWe of electricity, 55.35 kW of chilled water for space cooling, and 1241 kW of space heating. Han et al [11] optimized the solar water heater area ratio as a free variable in a novel full-spectrum solar-assisted methanol CCHP system in a hybrid solar installation, aiming to improve the combined environmental, economic, and energy performance. The optimization results showed the best overall performance for a solar water heater area ratio of 0.5.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

Ren

Tseng

et al. 2022

Energy Conversion and Management

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Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

Ren

Tseng

et al. 2022

Energy Conversion and Management

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“…While the majority of studies prioritize single-objective optimization centering on economic feasibility, other factors such as efficiency, reliability, and environmental protection are equally vital in determining system operability [27]. Multi-objective programming addresses these considerations, especially in MES, where reducing pollution and improving reliability might mean compromising on economic feasibility to some extent [28]. Liu et al [29] used the geneticalgorithm-particle-swarm optimization to optimize the nominal PV, system power output point, and thermal energy storage capacity of a thermal-storage PV-CSP system for various scheduling strategies, aiming to achieve the most cost-effective electricity level.…”

Section: Introductionmentioning

confidence: 99%

Capacity-Operation Collaborative Optimization for Wind-Solar-Hydrogen Multi-Energy Supply System

Liu,

Zhai,

et al. 2023

Applied Sciences

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In pursuit of widespread adoption of renewable energy and the realization of decarbonization objectives, this study investigates an innovative system known as a wind-solar-hydrogen multi-energy supply (WSH-MES) system. This system seamlessly integrates a wind farm, photovoltaic power station, solar thermal power station, and hydrogen energy network at the power grid level. Central to the study is the introduction of a bi-level collaborative optimization model—an innovative algorithmic framework specifically tailored for complex multi-energy systems. This model co-optimizes both the capacity planning of essential system components and their annual load distribution, adeptly navigating the complexities of optimizing capacity and annual load distribution under uncertain energy sources and load conditions. A layered methodology synergistically combines linear programming with an advanced version of non-dominated sorting genetic algorithm-II. When applied to a real-world case study in Zhangbei, China, this approach identifies an optimal system capacity, leading to annual green power generation of 201.56 GW and a substantial reduction of over 173,703 tons of CO2 emissions. An economic analysis further reveals that each 1% reduction in CO2 emissions corresponds to a modest 1.7% increase in the system’s levelized cost of energy. Moreover, a comprehensive exploration of the impacts of various capacity parameters on the WSH-MES system’s performance is conducted. These insights offer invaluable guidance for the large-scale advancement of efficient renewable energy utilization and the attainment of decarbonization targets.

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Techno-economic and thermodynamic analyses of a novel CCHP system driven by a solid oxide fuel cell integrated with a biomass gasification unit and a double-effect LiBr-water absorption chiller or heat cycle and carbon capture

Wang,

Al-attab,

Heng

2024

Biomass Conv. Bioref.

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Multi-objective optimization and exergoeconomic analysis for a novel full-spectrum solar-assisted methanol combined cooling, heating, and power system

Cited by 25 publications

References 45 publications

Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

Capacity-Operation Collaborative Optimization for Wind-Solar-Hydrogen Multi-Energy Supply System

Techno-economic and thermodynamic analyses of a novel CCHP system driven by a solid oxide fuel cell integrated with a biomass gasification unit and a double-effect LiBr-water absorption chiller or heat cycle and carbon capture

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